Evaluation of respiratory system models based on parameter estimates from impulse oscillometry data.

Evaluation of respiratory system models based on parameter estimates from impulse oscillometry data. Research Abstract Details 

Research Abstract Table of Contents

Jump to the:

Evaluation of respiratory system models based on parameter estimates from impulse oscillometry data. Abstract Text:

S Baswa,H Nazeran,P Nava,B Diong,M Goldman,

Impulse oscillometry offers advantages over spirometry because it requires minimal patient cooperation, it yields pulmonary function data in a form that is readily amenable to engineering analysis. In particular, the data can be used to obtain parameter estimates for electric circuit-based models of the respiratory system, which in turn may assist the detection and diagnosis of various diseases/pathologies. Of the six models analyzed during this study, Mead's model seems to provide the most robust and accurate parameter estimates for our data set of 5 subjects with airflow obstruction including asthma and chronic obstructive pulmonary disease and another 5 normal subjects with no identifiable respiratory disease. Such a diagnostic approach, relying on estimated parameter values from a respiratory system model estimate and the degree of their deviation from the normal range, may require additional measures to ensure proper identification of diseases/pathologies but the preliminary results are promising.

Evaluation of respiratory system models based on parameter estimates from impulse oscillometry data. Publishing Authors By Initials

S Baswa,H Nazeran,P Nava,B Diong,M Goldman,

For similar abstracts research abstracts see: abstracts research

PUBMED ID PMID:

MEDLINE DATE:

Evaluation of respiratory system models based on parameter estimates from impulse oscillometry data. Journal Published:

PUBLICATION TYPE: Journal Article

Journal: Conference proceedings : ... Annual International

VOLUME: 3

Page Numbers: 2958-61

Journal Abbreviation:

ISSN: 1557-170X

DAY: 6

MONTH: 02

YEAR: 2005

Evaluation of respiratory system models based on parameter estimates from impulse oscillometry data. Information

Number of References:

LANGUAGE: eng

NlmUniqueID: 101243413

Evaluation of respiratory system models based on parameter estimates from impulse oscillometry data. Keywords Mesh Terms:

KEYWORDS:

MESH TERMS:

Chemical & Substance for Abstract: Evaluation of respiratory system models based on parameter estimates from impulse oscillometry data. Information

Substance Name:

Registry Number:

Grant and Affiliation Information for Evaluation of respiratory system models based on parameter estimates from impulse oscillometry data.

AFFILIATION: Department of Electrical and Computer Engineering, The University of Texas at El Paso, El Paso, TX 79968, USA.

Country: United States

AGENCY:

GRANT:

ACRONYM:

MEDLINETA: Conf Proc IEEE Eng Med Biol So

REFSOURCE:

DATABASENAME:

ACCESSION NUMBER:

Number Hits: 0

Evaluation of respiratory system models based on parameter estimates from impulse oscillometry data Related Publications

• A two-center, double-blinded, randomized trial testing the tolerability and efficacy of a novel therapeutic agent for cellulite reduction.
• Activity-dependent gene regulation in skeletal muscle is mediated by a histone deacetylase (HDAC)-Dach2-myogenin signal transduction cascade.
• An alpha-(1,4)-amylase is essential for alpha-(1,3)-glucan production and virulence in Histoplasma capsulatum.
• An integrated approach to the management of chronic myeloid leukemia.
• Cardiac concussion (commotio cordis).
• Classification of Impulse Oscillometric Patterns of Lung Function in Asthmatic Children using Artificial Neural Networks.
• Commentary: a case for minimizing folate supplementation in clinical regimens with pemetrexed based on the marked sensitivity of the drug to folate availability.
• Defining virulence genes in the dimorphic fungi.
• Do biomarkers of stress mediate the relation between socioeconomic status and health?
• Dorsal radial glia generate olfactory bulb interneurons in the postnatal murine brain.
• Evaluation of respiratory system models based on parameter estimates from impulse oscillometry data.
• Experimental design criteria in phylogenetics: where to add taxa.
• Glial progenitor-based repair of demyelinating neurological diseases.
• Histoplasma capsulatum alpha-(1,3)-glucan blocks innate immune recognition by the beta-glucan receptor.
• Intravascular lasers in the treatment of varicose veins.
• Measuring fatigue for children with cancer: development and validation of the pediatric Functional Assessment of Chronic Illness Therapy-Fatigue (pedsFACIT-F).
• Modeling human respiratory impedance. Comparing the best method with the least estimation errors.
• Neurocytoma is a tumor of adult neuronal progenitor cells.
• Parasitic infections of the skin.
• Peak selection from MALDI-TOF mass spectra using ant colony optimization.
• Renal disease in an antiretroviral-naïve HIV-infected outpatient population in Western Kenya.
• Risk factors for physical assault and rape among six Native American tribes.
• Saliva from subjects harboring Actinobacillus actinomycetemcomitans kills Streptococcus mutans in vitro.
• Selection of cholera toxin specific IgNAR single-domain antibodies from a naïve shark library.
• Serologic evidence for regional differences in pediatric cryptococcal infection.
• Synergistic effects of the SAPK/JNK and the proteasome pathway on glial fibrillary acidic protein (GFAP) accumulation in Alexander disease.
• The effect of a novel transition state inhibitor of methylthioadenosine phosphorylase on pemetrexed activity.
• Using Q-methodology to understand perceived fatigue reported by adolescents with cancer.
• Using ancestry-informative markers to define populations and detect population stratification.
• Women's Health Initiative Perspective: What Does It Really Mean to the Rheumatologist?